{"id":"W2088608661","doi":"10.1080/03052150600557742","title":"An interval-parameter two-stage stochastic integer programming model for environmental systems planning under uncertainty","year":2006,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Water resources management and optimization","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Stochastic programming; Mathematical optimization; Interval (graph theory); Integer programming; Context (archaeology); Linear programming; Variable (mathematics); Random variable; Integer (computer science); Computer science; Range (aeronautics); Binary number; Operations research; Mathematics; Engineering; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001625236,0.001013754,0.001239192,0.0005511304,0.0004153187,0.001414282,0.001867497,0.001517897,0.003446097],"category_scores_gemma":[0.002774861,0.0008435972,0.001194074,0.001282016,0.0008199278,0.001226103,0.0009284135,0.001907848,0.0003728113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261988,"about_ca_system_score_gemma":0.001778387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00485526,"about_ca_topic_score_gemma":0.004875991,"domain_scores_codex":[0.9990628,0.0004635502,0.00003991346,0.0001158325,0.0002085823,0.0001093147],"domain_scores_gemma":[0.9988998,0.0007651912,0.0001260444,0.00003697998,0.0001246425,0.00004726299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001339824,0.000008916749,0.0000691399,0.00002109778,0.000006892761,0.00002544692,0.00001283992,0.9885737,0.0001811686,0.008741545,0.0001656497,0.00218014],"study_design_scores_gemma":[0.000003466117,0.000008739748,0.00001884233,0.000002262531,0.00000238432,0.000004211231,0.000002428649,0.9975033,0.00006212616,0.002188661,0.0002004851,0.000002945105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006808914,0.0001533545,0.9895355,0.0001469398,0.00002628351,0.00005331717,0.0001699579,0.0001365258,0.002969208],"genre_scores_gemma":[0.668927,0.000754447,0.3209581,0.0001269553,0.00006493845,0.0009260857,0.0005316932,0.0001103086,0.007600524],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00485526,"threshold_uncertainty_score":0.01152837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135135008434967,"score_gpt":0.2106646912451428,"score_spread":0.1993133411607931,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}